3211
WebGPT: Improving the factual accuracy of language models through web browsing
We’ve fine-tuned GPT-3 to more accurately answer open-ended questions using a text-based web browser.
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 3,242 posts.
3212
Competitive programming with AlphaCode
Solving novel problems and setting a new milestone in competitive programming.
3213
2022 Expert Survey on Progress in AI
Collected data and analysis from a large survey of machine learning researchers.
3214
3215
Federated Learning: Collaborative Machine Learning without Centralized Training
Posted by Brendan McMahan and Daniel Ramage, Research ScientistsStandard machine learning approaches require centralizing the training data on one ...
3216
Rationality: From AI to Zombies
A series by Eliezer Yudkowsky
3217
Code execution with MCP for efficient agents
Learn how code execution with the Model Context Protocol enables agents to handle more tools while using fewer tokens, reducing context overhead by up to 98.7%.
3218
AA-Omniscience v1.1: Knowledge and Hallucination Benchmark
Compare AI model performance on AA-Omniscience v1.1: Knowledge and Hallucination Benchmark. A benchmark measuring factual recall and hallucination across various economically relevant domains.
3219
OpenAI's GPT-3 Language Model: A Technical Overview
Chuan Li, PhD reviews GPT-3, the new NLP model from OpenAI. The technical overview covers how GPT-3 was trained, GPT-2 vs. GPT-3, and GPT-3 performance.
3220
Due to DMA, Siri AI delayed in EU for iOS 27 and iPadOS 27
Due to the Digital Markets Act, Apple will not be able to ship Siri AI in the European Union with the release of iOS 27 and iPadOS 27.
3221
Introducing Meta Llama 3: The most capable openly available LLM to date
Today, we’re introducing Meta Llama 3, the next generation of our state-of-the-art open source large language model. In the coming months, we expect to share new capabilities, additional model sizes, and more.
3222
Octoverse: A new developer joins GitHub every second as AI leads TypeScript to #1
In this year’s Octoverse, we uncover how AI, agents, and typed languages are driving the biggest shifts in software development in more than a decade.
3223
The Open Source AI Definition
version 1.0 See FAQsSee list of endorsementsSee ChecklistEndorse the OSAID Preamble Why we need Open Source Artificial Intelligence (AI) Open Source has demonstrated that massive benefits accrue to…
3224
AI Coding Agent Benchmarks & Leaderboard
We measure real-world performance of coding agents on software engineering tasks, including cost, token usage, and execution time. We compare how performance changes across agents, models, and execution settings.
3225
How to Build an Agent
Building a fully functional, code-editing agent in less than 400 lines.
3226
GPUDirect Storage: A Direct Path Between Storage and GPU Memory
As AI and HPC datasets continue to increase in size, the time spent loading data for a given application begins to place a strain on the total application’s performance. When considering end-to-end…
3227
3228
Introducing GPT-5
We are introducing GPT‑5, our best AI system yet. GPT‑5 is a significant leap in intelligence over all our previous models, featuring state-of-the-art performance across coding, math, writing, health, visual perception, and more.
3229
NVIDIA Puts Grace Blackwell on Every Desk and at Every AI Developer’s Fingertips
CES—NVIDIA today unveiled NVIDIA® Project DIGITS, a personal AI supercomputer that provides AI researchers, data scientists and students worldwide with access to the power of the NVIDIA Grace ...
3230
Aligning language models to follow instructions
We’ve trained language models that are much better at following user intentions than GPT-3 while also making them more truthful and less toxic, using techniques developed through our alignment research. These InstructGPT models, which are trained with humans in the loop, are now deployed as the default language models…
3231
Myanmar: Facebook’s systems promoted violence against Rohingya; Meta owes reparations
Facebook owner Meta’s dangerous algorithms and reckless pursuit of profit substantially contributed to the atrocities perpetrated by the Myanmar military against the Rohingya people in 2017, Amnesty International said in a new report published today.
3232
Welcome to LLMflation - LLM inference cost is going down fast ⬇️
For LLM of equivalent performance, the inference cost is decreasing by 10x every year. What cost $60/million tokens in 2021 costs $.06/million tokens today.
3233
CLIP: Connecting text and images
We’re introducing a neural network called CLIP which efficiently learns visual concepts from natural language supervision. CLIP can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognized, similar to the “zero-shot” capabilities of GPT-2 and GPT-3.
3234
Combining Machine Learning and Homomorphic Encryption in the Apple Ecosystem
At Apple, we believe privacy is a fundamental human right. Our work to protect user privacy is informed by a set of privacy principles, and…
3235
Separating code reasoning and editing
An Architect model describes how to solve the coding problem, and an Editor model translates that into file edits. This Architect/Editor approach produces SOTA benchmark results.
3236
3237
Measuring the environmental impact of AI inference
A methodology for measuring the energy, emissions, and water impact of Gemini prompts shines a light on the environmental impact of AI inference.
3238
AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms
New AI agent evolves algorithms for math and practical applications in computing by combining the creativity of large language models with automated evaluators
3239
3240
How much energy does ChatGPT use?
This Gradient Updates issue explores how much energy ChatGPT uses per query, revealing it's 10x less than common estimates.